Overview

Dataset statistics

Number of variables5
Number of observations2889
Missing cells2548
Missing cells (%)17.6%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory113.0 KiB
Average record size in memory40.0 B

Variable types

Text4
Categorical1

Dataset

Description1999년 지역별 전시회 등 시각예술 관련 정보(행사명, 장소, 일시 등 포함)
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15076429/fileData.do

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates
비고 has 2547 (88.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:31:44.809656
Analysis finished2023-12-12 22:31:45.792253
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일시
Text

Distinct1327
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2023-12-13T07:31:46.062399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length10.986847
Min length3

Characters and Unicode

Total characters31741
Distinct characters20
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique962 ?
Unique (%)33.3%

Sample

1st row1998.11.21 〜 1999.1.31
2nd row1998.12.15〜 1999.1.30
3rd row1998.12.22 〜 1999.1.24
4th row1998.12.24〜 1999.3.31
5th row1998.12.30- 1999.1.5
ValueCountFrequency (%)
〜 2716
32.6%
11.2 60
 
0.7%
12.8 60
 
0.7%
12.15 59
 
0.7%
12.7 58
 
0.7%
10.12 57
 
0.7%
9.1 56
 
0.7%
12.1 56
 
0.7%
10.27 56
 
0.7%
10.20 55
 
0.7%
Other values (493) 5105
61.2%
2023-12-13T07:31:46.503233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5795
18.3%
1 5498
17.3%
5449
17.2%
2 3305
10.4%
〜 2802
8.8%
0 1379
 
4.3%
3 1338
 
4.2%
9 1169
 
3.7%
6 1146
 
3.6%
5 1093
 
3.4%
Other values (10) 2767
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17603
55.5%
Other Punctuation 5800
 
18.3%
Space Separator 5449
 
17.2%
Dash Punctuation 2879
 
9.1%
Math Symbol 7
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5498
31.2%
2 3305
18.8%
0 1379
 
7.8%
3 1338
 
7.6%
9 1169
 
6.6%
6 1146
 
6.5%
5 1093
 
6.2%
4 1035
 
5.9%
7 827
 
4.7%
8 813
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 5795
99.9%
, 4
 
0.1%
/ 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
〜 2802
97.3%
- 76
 
2.6%
— 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5449
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
100.0%
Close Punctuation
ValueCountFrequency (%)
》 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31739
> 99.9%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5795
18.3%
1 5498
17.3%
5449
17.2%
2 3305
10.4%
〜 2802
8.8%
0 1379
 
4.3%
3 1338
 
4.2%
9 1169
 
3.7%
6 1146
 
3.6%
5 1093
 
3.4%
Other values (9) 2765
8.7%
Latin
ValueCountFrequency (%)
l 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28937
91.2%
None 2803
 
8.8%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5795
20.0%
1 5498
19.0%
5449
18.8%
2 3305
11.4%
0 1379
 
4.8%
3 1338
 
4.6%
9 1169
 
4.0%
6 1146
 
4.0%
5 1093
 
3.8%
4 1035
 
3.6%
Other values (7) 1730
 
6.0%
None
ValueCountFrequency (%)
〜 2802
> 99.9%
》 1
 
< 0.1%
Punctuation
ValueCountFrequency (%)
— 1
100.0%

행사명
Text

Distinct2774
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
2023-12-13T07:31:46.790023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length6.8210453
Min length2

Characters and Unicode

Total characters19706
Distinct characters714
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2668 ?
Unique (%)92.4%

Sample

1st row그림보다 액자가 더 좋다전
2nd row’98〜’99 송구영신 24인 초대 전
3rd row명비고탁전
4th row백남준과 요셉 보이스전
5th row김학량。이관훈전
ValueCountFrequency (%)
사진전 148
 
3.0%
전 136
 
2.8%
조각전 85
 
1.7%
도예전 58
 
1.2%
• 42
 
0.9%
’99 42
 
0.9%
판화전 35
 
0.7%
30
 
0.6%
한국 24
 
0.5%
금속공예전 24
 
0.5%
Other values (3524) 4317
87.4%
2023-12-13T07:31:47.201255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 2915
 
14.8%
2055
 
10.4%
이 359
 
1.8%
회 354
 
1.8%
진 335
 
1.7%
김 309
 
1.6%
사 268
 
1.4%
예 244
 
1.2%
화 222
 
1.1%
한 216
 
1.1%
Other values (704) 12429
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16410
83.3%
Space Separator 2055
 
10.4%
Decimal Number 532
 
2.7%
Uppercase Letter 207
 
1.1%
Lowercase Letter 194
 
1.0%
Other Punctuation 106
 
0.5%
Dash Punctuation 74
 
0.4%
Final Punctuation 53
 
0.3%
Close Punctuation 36
 
0.2%
Open Punctuation 36
 
0.2%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2915
 
17.8%
이 359
 
2.2%
회 354
 
2.2%
진 335
 
2.0%
김 309
 
1.9%
사 268
 
1.6%
예 244
 
1.5%
화 222
 
1.4%
한 216
 
1.3%
조 204
 
1.2%
Other values (620) 10984
66.9%
Uppercase Letter
ValueCountFrequency (%)
A 29
14.0%
S 22
10.6%
O 17
 
8.2%
E 16
 
7.7%
P 15
 
7.2%
I 14
 
6.8%
M 11
 
5.3%
N 11
 
5.3%
C 10
 
4.8%
F 8
 
3.9%
Other values (15) 54
26.1%
Lowercase Letter
ValueCountFrequency (%)
e 33
17.0%
o 20
 
10.3%
a 16
 
8.2%
s 14
 
7.2%
n 13
 
6.7%
r 12
 
6.2%
h 10
 
5.2%
l 10
 
5.2%
i 8
 
4.1%
t 8
 
4.1%
Other values (14) 50
25.8%
Other Punctuation
ValueCountFrequency (%)
• 62
58.5%
. 18
 
17.0%
, 8
 
7.5%
: 5
 
4.7%
& 5
 
4.7%
/ 2
 
1.9%
? 2
 
1.9%
· 1
 
0.9%
# 1
 
0.9%
' 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
9 143
26.9%
1 92
17.3%
0 81
15.2%
2 71
13.3%
5 35
 
6.6%
3 33
 
6.2%
4 23
 
4.3%
6 21
 
3.9%
8 21
 
3.9%
7 12
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 66
89.2%
〜 5
 
6.8%
— 2
 
2.7%
― 1
 
1.4%
Open Punctuation
ValueCountFrequency (%)
（ 24
66.7%
( 11
30.6%
「 1
 
2.8%
Close Punctuation
ValueCountFrequency (%)
） 25
69.4%
) 11
30.6%
Space Separator
ValueCountFrequency (%)
2055
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 53
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16342
82.9%
Common 2895
 
14.7%
Latin 401
 
2.0%
Han 68
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2915
 
17.8%
이 359
 
2.2%
회 354
 
2.2%
진 335
 
2.0%
김 309
 
1.9%
사 268
 
1.6%
예 244
 
1.5%
화 222
 
1.4%
한 216
 
1.3%
조 204
 
1.2%
Other values (570) 10916
66.8%
Han
ValueCountFrequency (%)
人 6
 
8.8%
三 4
 
5.9%
夏 3
 
4.4%
四 2
 
2.9%
一 2
 
2.9%
合 2
 
2.9%
分 2
 
2.9%
呼 2
 
2.9%
色 2
 
2.9%
共 2
 
2.9%
Other values (40) 41
60.3%
Latin
ValueCountFrequency (%)
e 33
 
8.2%
A 29
 
7.2%
S 22
 
5.5%
o 20
 
5.0%
O 17
 
4.2%
a 16
 
4.0%
E 16
 
4.0%
P 15
 
3.7%
I 14
 
3.5%
s 14
 
3.5%
Other values (39) 205
51.1%
Common
ValueCountFrequency (%)
2055
71.0%
9 143
 
4.9%
1 92
 
3.2%
0 81
 
2.8%
2 71
 
2.5%
- 66
 
2.3%
• 62
 
2.1%
’ 53
 
1.8%
5 35
 
1.2%
3 33
 
1.1%
Other values (25) 204
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16342
82.9%
ASCII 3119
 
15.8%
Punctuation 119
 
0.6%
CJK 68
 
0.3%
None 58
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 2915
 
17.8%
이 359
 
2.2%
회 354
 
2.2%
진 335
 
2.0%
김 309
 
1.9%
사 268
 
1.6%
예 244
 
1.5%
화 222
 
1.4%
한 216
 
1.3%
조 204
 
1.2%
Other values (570) 10916
66.8%
ASCII
ValueCountFrequency (%)
2055
65.9%
9 143
 
4.6%
1 92
 
2.9%
0 81
 
2.6%
2 71
 
2.3%
- 66
 
2.1%
5 35
 
1.1%
3 33
 
1.1%
e 33
 
1.1%
A 29
 
0.9%
Other values (62) 481
 
15.4%
Punctuation
ValueCountFrequency (%)
• 62
52.1%
’ 53
44.5%
— 2
 
1.7%
‘ 1
 
0.8%
― 1
 
0.8%
None
ValueCountFrequency (%)
） 25
43.1%
（ 24
41.4%
〜 5
 
8.6%
· 1
 
1.7%
「 1
 
1.7%
® 1
 
1.7%
。 1
 
1.7%
CJK
ValueCountFrequency (%)
人 6
 
8.8%
三 4
 
5.9%
夏 3
 
4.4%
四 2
 
2.9%
一 2
 
2.9%
合 2
 
2.9%
分 2
 
2.9%
呼 2
 
2.9%
色 2
 
2.9%
共 2
 
2.9%
Other values (40) 41
60.3%

장소
Text

Distinct305
Distinct (%)10.6%
Missing1
Missing (%)< 0.1%
Memory size22.7 KiB
2023-12-13T07:31:47.412930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length6.0155817
Min length3

Characters and Unicode

Total characters17373
Distinct characters269
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)4.4%

Sample

1st row금호미술관
2nd row예일화랑
3rd row예술의전당서예관
4th row로댕 갤러리
5th row갤러리 보다
ValueCountFrequency (%)
갤러리 510
 
13.4%
인사갤러리 107
 
2.8%
경인미술관 102
 
2.7%
관훈갤러리 98
 
2.6%
공평아트센터 80
 
2.1%
덕원갤러리 79
 
2.1%
세종문화회관 77
 
2.0%
미술관 67
 
1.8%
가나아트스페이스 65
 
1.7%
문예진흥원 59
 
1.5%
Other values (345) 2566
67.3%
2023-12-13T07:31:47.745406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 1290
 
7.4%
러 1286
 
7.4%
갤 1281
 
7.4%
922
 
5.3%
관 678
 
3.9%
화 572
 
3.3%
술 515
 
3.0%
랑 492
 
2.8%
미 460
 
2.6%
트 409
 
2.4%
Other values (259) 9468
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16328
94.0%
Space Separator 922
 
5.3%
Uppercase Letter 82
 
0.5%
Decimal Number 29
 
0.2%
Other Punctuation 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1290
 
7.9%
러 1286
 
7.9%
갤 1281
 
7.8%
관 678
 
4.2%
화 572
 
3.5%
술 515
 
3.2%
랑 492
 
3.0%
미 460
 
2.8%
트 409
 
2.5%
스 389
 
2.4%
Other values (236) 8956
54.9%
Uppercase Letter
ValueCountFrequency (%)
L 20
24.4%
G 20
24.4%
F 20
24.4%
K 8
 
9.8%
S 6
 
7.3%
X 2
 
2.4%
E 2
 
2.4%
O 2
 
2.4%
B 1
 
1.2%
W 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 16
55.2%
6 9
31.0%
3 2
 
6.9%
2 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
/ 3
50.0%
& 2
33.3%
. 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
i 1
33.3%
Space Separator
ValueCountFrequency (%)
922
100.0%
Close Punctuation
ValueCountFrequency (%)
） 1
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16326
94.0%
Common 960
 
5.5%
Latin 85
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1290
 
7.9%
러 1286
 
7.9%
갤 1281
 
7.8%
관 678
 
4.2%
화 572
 
3.5%
술 515
 
3.2%
랑 492
 
3.0%
미 460
 
2.8%
트 409
 
2.5%
스 389
 
2.4%
Other values (234) 8954
54.8%
Latin
ValueCountFrequency (%)
L 20
23.5%
G 20
23.5%
F 20
23.5%
K 8
 
9.4%
S 6
 
7.1%
X 2
 
2.4%
o 2
 
2.4%
E 2
 
2.4%
O 2
 
2.4%
i 1
 
1.2%
Other values (2) 2
 
2.4%
Common
ValueCountFrequency (%)
922
96.0%
0 16
 
1.7%
6 9
 
0.9%
/ 3
 
0.3%
3 2
 
0.2%
2 2
 
0.2%
& 2
 
0.2%
） 1
 
0.1%
（ 1
 
0.1%
. 1
 
0.1%
Han
ValueCountFrequency (%)
麗 1
50.0%
人 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16326
94.0%
ASCII 1042
 
6.0%
CJK 2
 
< 0.1%
None 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 1290
 
7.9%
러 1286
 
7.9%
갤 1281
 
7.8%
관 678
 
4.2%
화 572
 
3.5%
술 515
 
3.2%
랑 492
 
3.0%
미 460
 
2.8%
트 409
 
2.5%
스 389
 
2.4%
Other values (234) 8954
54.8%
ASCII
ValueCountFrequency (%)
922
88.5%
L 20
 
1.9%
G 20
 
1.9%
F 20
 
1.9%
0 16
 
1.5%
6 9
 
0.9%
K 8
 
0.8%
S 6
 
0.6%
/ 3
 
0.3%
3 2
 
0.2%
Other values (10) 16
 
1.5%
CJK
ValueCountFrequency (%)
麗 1
50.0%
人 1
50.0%
None
ValueCountFrequency (%)
） 1
50.0%
（ 1
50.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

비고
Text

MISSING 

Distinct336
Distinct (%)98.2%
Missing2547
Missing (%)88.2%
Memory size22.7 KiB
2023-12-13T07:31:47.998635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length165
Median length66.5
Mean length34.97076
Min length4

Characters and Unicode

Total characters11960
Distinct characters573
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique333 ?
Unique (%)97.4%

Sample

1st row백남준과 요셉 보이스의 예술적 인연과 연관관계를 조명 한 기획전
2nd row김석,김준, 김태헌, 노상균, 박불똥, 권기수, 이재복, 강용면, 김형모, 한구호 등 출품
3rd row딱지를 소재로 어린 시절의 추억을 불러일으키는 평면작업
4th row강병찬, 권광칠, 김태규, 김현숙, 박희수, 송병진 등의 한국화 그룹전
5th row동판화 작업 （1부）, 중견작가들의 목판화 작업（2부）, 새로운 형식의 실험（3부） 판화전
ValueCountFrequency (%)
등 135
 
4.8%
출품 79
 
2.8%
한 43
 
1.5%
주제로 38
 
1.4%
평면작업 31
 
1.1%
작업 23
 
0.8%
기획전 20
 
0.7%
설치작업 18
 
0.6%
사진작업 18
 
0.6%
작품전 14
 
0.5%
Other values (1858) 2375
85.0%
2023-12-13T07:31:48.421744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2452
 
20.5%
, 950
 
7.9%
김 231
 
1.9%
이 219
 
1.8%
작 204
 
1.7%
의 190
 
1.6%
한 173
 
1.4%
전 159
 
1.3%
등 158
 
1.3%
품 132
 
1.1%
Other values (563) 7092
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8057
67.4%
Space Separator 2452
 
20.5%
Other Punctuation 999
 
8.4%
Decimal Number 275
 
2.3%
Open Punctuation 68
 
0.6%
Close Punctuation 67
 
0.6%
Dash Punctuation 19
 
0.2%
Final Punctuation 9
 
0.1%
Uppercase Letter 7
 
0.1%
Lowercase Letter 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 231
 
2.9%
이 219
 
2.7%
작 204
 
2.5%
의 190
 
2.4%
한 173
 
2.1%
전 159
 
2.0%
등 158
 
2.0%
품 132
 
1.6%
업 118
 
1.5%
정 116
 
1.4%
Other values (522) 6357
78.9%
Decimal Number
ValueCountFrequency (%)
1 64
23.3%
9 60
21.8%
0 42
15.3%
2 22
 
8.0%
8 22
 
8.0%
5 17
 
6.2%
7 17
 
6.2%
4 12
 
4.4%
6 10
 
3.6%
3 9
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
14.3%
H 1
14.3%
M 1
14.3%
B 1
14.3%
E 1
14.3%
L 1
14.3%
T 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 950
95.1%
. 31
 
3.1%
• 16
 
1.6%
* 1
 
0.1%
# 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
） 31
46.3%
〉 21
31.3%
) 13
19.4%
」 1
 
1.5%
》 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
（ 33
48.5%
〈 21
30.9%
( 13
 
19.1%
「 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
t 1
25.0%
e 1
25.0%
f 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
〜 15
78.9%
- 4
 
21.1%
Space Separator
ValueCountFrequency (%)
2452
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 9
100.0%
Other Symbol
ValueCountFrequency (%)
® 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8016
67.0%
Common 3892
32.5%
Han 41
 
0.3%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 231
 
2.9%
이 219
 
2.7%
작 204
 
2.5%
의 190
 
2.4%
한 173
 
2.2%
전 159
 
2.0%
등 158
 
2.0%
품 132
 
1.6%
업 118
 
1.5%
정 116
 
1.4%
Other values (486) 6316
78.8%
Han
ValueCountFrequency (%)
剛 2
 
4.9%
山 2
 
4.9%
頭 2
 
4.9%
指 2
 
4.9%
金 2
 
4.9%
彩 1
 
2.4%
普 1
 
2.4%
背 1
 
2.4%
無 1
 
2.4%
現 1
 
2.4%
Other values (26) 26
63.4%
Common
ValueCountFrequency (%)
2452
63.0%
, 950
 
24.4%
1 64
 
1.6%
9 60
 
1.5%
0 42
 
1.1%
（ 33
 
0.8%
） 31
 
0.8%
. 31
 
0.8%
2 22
 
0.6%
8 22
 
0.6%
Other values (20) 185
 
4.8%
Latin
ValueCountFrequency (%)
S 1
9.1%
H 1
9.1%
M 1
9.1%
a 1
9.1%
t 1
9.1%
e 1
9.1%
f 1
9.1%
B 1
9.1%
E 1
9.1%
L 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8016
67.0%
ASCII 3752
31.4%
None 126
 
1.1%
CJK 41
 
0.3%
Punctuation 25
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2452
65.4%
, 950
 
25.3%
1 64
 
1.7%
9 60
 
1.6%
0 42
 
1.1%
. 31
 
0.8%
2 22
 
0.6%
8 22
 
0.6%
5 17
 
0.5%
7 17
 
0.5%
Other values (20) 75
 
2.0%
Hangul
ValueCountFrequency (%)
김 231
 
2.9%
이 219
 
2.7%
작 204
 
2.5%
의 190
 
2.4%
한 173
 
2.2%
전 159
 
2.0%
등 158
 
2.0%
품 132
 
1.6%
업 118
 
1.5%
정 116
 
1.4%
Other values (486) 6316
78.8%
None
ValueCountFrequency (%)
（ 33
26.2%
） 31
24.6%
〈 21
16.7%
〉 21
16.7%
〜 15
11.9%
® 2
 
1.6%
「 1
 
0.8%
」 1
 
0.8%
》 1
 
0.8%
Punctuation
ValueCountFrequency (%)
• 16
64.0%
’ 9
36.0%
CJK
ValueCountFrequency (%)
剛 2
 
4.9%
山 2
 
4.9%
頭 2
 
4.9%
指 2
 
4.9%
金 2
 
4.9%
彩 1
 
2.4%
普 1
 
2.4%
背 1
 
2.4%
無 1
 
2.4%
現 1
 
2.4%
Other values (26) 26
63.4%

부문
Categorical

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size22.7 KiB
양화
897 
종합
635 
공예
403 
사진
272 
한국화
253 
Other values (11)
429 

Length

Max length6
Median length2
Mean length2.1156109
Min length2

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row종합
2nd row종합
3rd row서예
4th row종합
5th row한국화

Common Values

ValueCountFrequency (%)
양화 897
31.0%
종합 635
22.0%
공예 403
13.9%
사진 272
 
9.4%
한국화 253
 
8.8%
조각 149
 
5.2%
서예 125
 
4.3%
판화 79
 
2.7%
디자인 55
 
1.9%
건축 12
 
0.4%
Other values (6) 9
 
0.3%

Length

2023-12-13T07:31:48.552734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양화 897
31.0%
종합 642
22.2%
공예 403
13.9%
사진 272
 
9.4%
한국화 253
 
8.7%
조각 149
 
5.1%
서예 126
 
4.4%
판화 79
 
2.7%
디자인 55
 
1.9%
건축 12
 
0.4%
Other values (5) 7
 
0.2%

Missing values

2023-12-13T07:31:45.586403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:31:45.673196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T07:31:45.750621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

일시행사명장소비고부문
01998.11.21 〜 1999.1.31그림보다 액자가 더 좋다전금호미술관<NA>종합
11998.12.15〜 1999.1.30’98〜’99 송구영신 24인 초대 전예일화랑<NA>종합
21998.12.22 〜 1999.1.24명비고탁전예술의전당서예관<NA>서예
31998.12.24〜 1999.3.31백남준과 요셉 보이스전로댕 갤러리백남준과 요셉 보이스의 예술적 인연과 연관관계를 조명 한 기획전종합
41998.12.30- 1999.1.5김학량。이관훈전갤러리 보다<NA>한국화
51.4 〜 1.13한국미술대전서울시립미술관<NA>종합
61.4 〜 1.15서양화 • 조각 • 판화 모음전나화랑<NA>종합
71.4 〜 1.18생활속의 미술-판화 모음전가나아트스페이스<NA>판화
81.4 〜 2.7돈（錢）돈（回）돈（狂） 전갤러리 사비나김석,김준, 김태헌, 노상균, 박불똥, 권기수, 이재복, 강용면, 김형모, 한구호 등 출품종합
91.5 〜 1.16이연경전조흥갤러리딱지를 소재로 어린 시절의 추억을 불러일으키는 평면작업양화
일시행사명장소비고부문
287912.23 〜 2000.2.12ASTA’99 전국제화랑<NA>종합
288012.23 〜 1.31송구영신 24인 초대전예일화랑<NA>종합
288112.24 〜 1.6연말특별기획전롯데월드 화랑<NA>종합
288212.25 〜 12.30성유서 회전세종문화회관<NA>서예
288312.27 〜 12.30탐서회전세종문화회관<NA>서예
288412.27 〜 12.31중앙아카데미 회원전후지포토살롱<NA>사진
288512.2— 2000.1.2한국미를 찾는 도자모임전현대백화점 신촌점<NA>공예
288612.29 〜 2000.1.4굳모닝 밀레니엄전갤러리 미즈<NA>종합
288712.29 〜 2000.1.4리얼리즘전삼정아트스페이스<NA>종합
288812.31 〜 2000.1.5황성준전문예진흥원 미술회관징의 탄생을 위한 부화상자라는 주제의 설치종합, 작업

Duplicate rows

Most frequently occurring

일시행사명장소비고부문# duplicates
012.1 〜 12.7오경희전인사갤러리<NA>양화2
13.19 〜 3.29김진두전예일화랑<NA>양화2